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immune responses to promote T cell-mediated tumour clearance. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour
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the application of noise over a large number of distributed models. These issues should be overcome by developing robust and feasible mathematical models for differential privacy by investigating the data dynamics
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. This project also aims to investigate techniques to generate actionable explanations for a range of problems and data types and modality, from large-scale unstructured data, to highly varied sensor data and
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as well, resulting in increased survival. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour flowcytometry (up to 27
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uses world-class big-data omics analysis of immune cells, including RNAseq, genome-wide epigenetics, multicolour flowcytometry, cell sorting, multiplex cytokine analysis, as well as classical
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problems and data types and modality, from large-scale unstructured data, to highly varied sensor data and multimodal data. ADM+S students will participate in a national ARC Centre-based research and
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large-scale unstructured data, to highly varied sensor data and multimodal data. Technical or human focused solutions are welcome. Potential projects could encompass one of the following areas: ADM